Browsing by Subject "K-means clustering, End-stage Kidney Disease"
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Methodological Considerations for Clustering Omic Data: A Case Study Using Metabolite Data in the African American Study of Kidney Disease and Hypertension (AASK) (Johns Hopkins UniversityUSA, 2020-04-27)Substantial heterogeneity exists in disease severity, and prognosis. Better understanding of such heterogeneity may lead to more effective and efficient treatment by personalizing care to better suit patient profiles. This ...